Keywords
monetary deprivation
monetary deprivation,
hunger
How to Cite
Abstract
Poverty and lack of food access are critical problems in developing countries, affecting more than 20 % of the population in Mexico. This research aimed to analyze the factors influencing food access in Mexican households and to develop a predictive model. The machine learning technique, known as classification tree, was used and the results were compared with those of a logit model, frequently used in the literature. In terms of accuracy, the classification tree outperformed the logit model in
identifying households at risk of food insecurity (0.6039 vs. 0.5402) and provided a visual interpretation of the results. The findings suggest that households living in poverty, located in urban areas, with more than three members or without basic education, should be prioritized in social policies, since they are more likely to face food access problems in Mexico
References
Alsharkawi, A., Al-Fetyani, M., Dawas, M., Saadeh, H., & Alyaman, M. (2021). Poverty classification using machine learning: The case of Jordan. Sustainability, 13(3), 1412. https://doi.org/10.3390/ su13031412
Bagheri, A., & Saadati, M. (2019). Modelling childbearing desire: comparison of logistic regression and classification tree approaches. Crescent Journal of Medical and Biological Sciences, 6(4), 487-493.
Consejo Nacional de Evaluación de la Política de Desarrollo Social (CONEVAL). (2021). Nota técnica sobre la medición multidimensional de la pobreza, 2018-2020. CONRVAL. https://www.coneval.org.mx/Medicion/MP/Documents/MMP_2018_2020/Notas_pobreza_2020/Nota_tecnica_ medicion_multidimensional_de_la_pobreza_2018_2020.pdf
Consejo Nacional de Evaluación de la Política de Desarrollo Social (CONEVAL). (2022). Programas de cálculo y bases de datos 2016-2020. CONEVAL. https://www.coneval.org.mx/Medicion/ Paginas/PobrezaInicio.aspx
Díaz-Carreño, M. Á., Díaz-Bustamente, A., & Sánchez-León, M. (2016). Inseguridad alimentaria en los estados de México: un estudio de sus principales determinantes. Economía, Sociedad y Territorio, 16(51), 459-483. https://doi.org/10.22136/est002016818
Díaz-Carreño, M. Á., Sánchez-Cándido, L. V., & Herrera RendónNebel, M. T. (2019). La inseguridad alimentaria severa en los estados de México: Un análisis a partir del enfoque de las capacidades 2008-2014. Estudios sociales. Revista de Alimentación Contemporánea y Desarrollo Regional, 29(53), 2-24. http://www.redalyc.org/articulo.oa?id=41760730028
Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO). (2012). Escala Latinoamericana y Caribeña de Seguridad Alimentaria (ELCSA): Manual de uso y aplicaciones. FAO. https://www.fao.org/3/i3065s/i3065s.pdf
Hastie, T., Tibshirani, R., & Friedman, J. (2008). The Elements of Statistical Learning. Data Mining, Inference, and Prediction. Springer Series in Statistics. https://doi.org/10.1007/978-0-387-84858-7
Instituto Nacional de Estadística y Geografía (INEGI). (2022). Microdatos de la Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH): 2020 Nueva serie. INEGI. https://www.inegi.org.mx/programas/enigh/nc/2020/default.html
Magaña-Lemus, D., Ishdorj, A., Rosson, C. P., & Lara-Álvarez, J. (2016). Determinants of household food insecurity in Mexico. Agricultural and Food Economics, 4, 10. https://doi.org/10.1186/s40100-016-0054-9
Manap, N. M. A., & Ismail, N. W. (2019). Food security and economic growth. International Journal of Modern Trends in Social Sciences, 2(8), 108-118. https://doi.org/10.35631/
IJMTSS.280011 Monroy-Torres, R., Castillo-Chávez, Á., Carcaño-Valencia, E., Hernández-Luna, M., Caldera-Ortega, A., Serafín-Muñoz, A., Linares-Segovia, B., Medina-Jiménez, K., Jiménez-Garza, O., Méndez-Pérez, M., & López-Briones, S. (2021). Food security, environmental health, and the economy in Mexico: lessons learned with the COVID-19. Sustainability, 13(13), 7470. https://doi.org/10.3390/su13137470
Mundo-Rosas, V., Unar-Munguía, M., Hernández-F, M., PérezEscamilla, R., & Shamah-Levy, T. (2019). La seguridad alimentaria en los hogares en pobreza de México: una mirada desde el acceso, la disponibilidad y el consumo. Salud Pública de México, 61(6), 866-875. https://doi.org/10.21149/10579
Pachapur, P. K., Pachapur, V. L., Brar, S. K., Galvez, R., Le Bihan, Y., & Surampalli, R. Y. (2020). Food security and sustainability. In R. Surampalli, T. Zhang, M. K. Goyal, S. Brar & R. Tyagi (eds.), Sustainability: Fundamentals and Applications. John Wiley & Sons, Inc. https://doi.org/10.1002/9781119434016.ch17
Pourreza, A., Geravandi, S., & Pakdaman, M. (2018). Food security and economic growth. Journal of Nutrition and Food Security, 3(3), 113-115. Speybroeck, N., Berkvens, D., Mfoukou-Ntsakala, A., Aerts, M., Hens, N., Van Huylenbroeck, G., & Thys, E. (2004). Classification trees versus multinomial models in the analysis of urban farming systems in Central Africa. Agricultural Systems, 80(2), 133-149. https://doi.org/10.1016/j.agsy.2003.06.006
Timmer, P. (2004). Food security and economic growth: An Asian perspective. Center for Global Development Working. http://dx.doi.org/10.2139/ssrn.1112795
Urquía-Fernández, N. (2014). La seguridad alimentaria en México. Salud Pública de México, 56(1), 92-98.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 1970 fernando vazquez ayanegui